%0 Conference Paper %1 G005 %A Wiener, E. %A Pedersen, J. O. %A Weigend, A. S. %B 4th Annual Symposium on Document Analysis and Information Retrieval (SDAIR'95). %D 1995 %K Neural categorization, dimensionality indexing, latent networks, reduction. semantic text %T A Neural Netword approach to Topic Spotting.

@inproceedings{G005, added-at = {2009-06-22T10:05:09.000+0200}, author = {Wiener, E. and Pedersen, J. O. and Weigend, A. S.}, biburl = {https://www.bibsonomy.org/bibtex/2cb7563ffab313d7bda9d0af16e35abbb/n.nanas}, booktitle = {4th Annual Symposium on Document Analysis and Information Retrieval (SDAIR'95).}, interhash = {68c928c2dec16c24301312e199b5dca8}, intrahash = {cb7563ffab313d7bda9d0af16e35abbb}, keywords = {Neural categorization, dimensionality indexing, latent networks, reduction. semantic text}, qnote = {Rich article but not very clear. However it is made clear that LSI can be one of the solutions to my problem of term selection or dimensionality reduction and a lot of the improvements tested could be easily be applied in my case.}, timestamp = {2009-06-23T10:19:15.000+0200}, title = {A Neural Netword approach to Topic Spotting.}, year = 1995 }